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The election of regional heads is a form of democratic implementation that requires the active participation of the community as voters. However, in its implementation, various obstacles are still found such as low voter participation, limited access to information, and lack of efficiency in the conventional voting process. This research aims to develop an online-based regional head election information system as a solution to increase voter participation through the use of digital technology. The research method used is Research and Development (R&D) with a Waterfall system development model which includes the stages of needs analysis, system design, implementation, testing, and evaluation. The developed system provides features of voter registration, candidate information, online voting process, and real-time recapitulation of vote results. The system test is carried out using the Black Box Testing method and shows that all system functions are running according to the user's needs. The results of this study show that the implementation of an online-based election information system can provide easy access, increase transparency, and encourage community involvement, especially young voters, in the process of electing regional heads. Thus, this system has the potential to become a digital innovation that supports improving the quality of local democracy.

The increasing use of facial cosmetics among adolescents and young adults is not always accompanied by adequate cosmetic literacy, potentially leading to skin health problems. Many consumers choose products based on trends without understanding their skin type, ingredients, and safety aspects, which can lead to skin barrier damage, irritation, and long-term dermatological disorders. This study aims to analyze the influence of cosmetic choices on facial skin health through a literature review. The method used was a qualitative literature study with a purposive sampling technique of scientific articles published between 2015 and 2025 that were relevant to the behavior of adolescents and young adults and the impact of cosmetic ingredients on the skin. Data were analyzed using content analysis to identify the relationship between knowledge, attitudes, and cosmetic choices. The results show that cosmetic knowledge tends to be high, but is not always followed by appropriate selection behavior, with varying correlation strengths. These findings confirm that cosmetic literacy contributes to the tendency to choose more appropriate products, but is not the sole determining factor. Therefore, education is needed that emphasizes cognitive aspects while fostering critical attitudes in choosing cosmetics safely and responsibly.

Best graduate selection is crucial for academic achievement and contributes to the accreditation value of the institution. Instituto Profissional de Canossa (IPDC) is a higher education institution founded by the Canossian Sisters in Timor-Leste. To improve the effectiveness of assessment and decision-making processes, an information system is needed to assist in selecting the best graduates based on multiple criteria. This research develops a web-based Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method. MAUT is a multi-criteria decision-making method that evaluates alternatives based on their utility scores across several criteria. The study uses four main criteria: attendance, academic performance, ethics, and discipline. The system is implemented as a web application for universal access. The MAUT calculation results provide valid and accurate recommendations for the best graduates. System testing showed that the application successfully ranked candidates based on defined weights and criteria, providing objective and consistent selection results.

Pasar merupakan bagian penting dalam perkembangan arsitektur pembangunan sebuah kota di Indonesia. Tidak hanya berperan dalam aspek ekonomi, pasar juga berperan dalam aspek sosial budaya masyarakat di wilayahnya. Pentingnya peran pasar tradisional ini direspon pemerintah melalui pelbagai program revitalisasi agar lebih mengikuti konteks zaman dan tidak kalah bersaing dengan jenis pasar yang lain. Namun permasalahan yang baru muncul setelah program revitalisasi dilaksanakan terutama menurunnya transaksi ekonomi dan tingkat keramaian di pasar. Revitalisasi Pasar Prawirotaman menjadi kasus yang diteliti pada permasalahan ini. Penelitian ini bertujuan untuk mengidentifikasi pola perilaku pengguna pasar tradisional untuk mengetahui tingkat optimalisasi fungsi ruang bangunan pasar. Metode yang digunakan pada penelitian ini adalah pemetaan perilaku pengguna pasar melalui place-centered mapping dengan pendekatan kualitatif. Penelitian ini menemukan bahwa pola perilaku pengguna memiliki jumlah frekuensi kegiatan berbeda di setiap lantainya dan pemilihan elemen aksesibilitas oleh pengguna bersifat langsung dan terarah sehingga mempengaruhi tingkat optimalisasi fungsi ruang.

Penelitian ini bertujuan untuk menganalisis pengaruh bentuk bukaan terhadap kondisi termal bangunan Masjid Jami Al-Hurriyah di Jakarta Selatan. Penelitian menggunakan metode deskriptif kualitatif dengan dukungan data kuantitatif sebagai data pendukung untuk memperkuat analisis kualitatif, bukan untuk pengujian statistik. Teknik pengumpulan data meliputi observasi lapangan, pengukuran suhu udara menggunakan termometer digital, serta analisis visual terhadap pola aliran udara pada setiap lantai bangunan. Hasil penelitian menunjukkan bahwa: (1) bukaan yang terbatas di lantai dasar menyebabkansirkulasi udara tidak optimal dengan suhu berkisar antara 27,6–29,3°C; (2) penggunaan bukaan lebar berbahan kaca di lantai satu meningkatkan suhu ruang hingga 29,1°C akibat paparan radiasi matahari; dan (3) keberadaan bukaan vertikal berupa skylight di lantai dua mampu menciptakan mekanisme stack ventilation yang lebih efektif dengan suhu ruang berkisar antara 26,8–27,3°C. Meskipun demikian, seluruh lantai bangunan belum memenuhi standar kenyamanan termal berdasarkan SNI, yaitu 22,8–25,8°C. Implikasi dari penelitian ini menekankan pentingnya penerapan strategi desain pasif, seperti optimalisasiventilasi silang, pengendalian radiasi matahari melalui elemen peneduh, serta pemilihan material bangunan yang mampu mengurangi perpindahan panas, guna meningkatkan kenyamanan termal pada bangunan masjid di iklim tropis.

For the general public, Indonesia’s five-year electoral cycle is often perceived merely as a procedural voting event, overlooking the substance and quality of how voters select presidential or regional leaders. Following the 2024 General Election, the challenges of democracy have shifted from technical management to the prevention of polarization, money politics, digital disinformation, identity politics, and echo chambers. This article analyzes the urgency of implementing sustainable voter education during the inter-election period, using the General Election Commission (KPU) of Balikpapan City as a case study. The study focuses on KPU Balikpapan’s strategies to transform pragmatic voters, who are susceptible to manipulation, into informed participants, while also addressing the vulnerabilities of first-time voters ahead of the 2029 Election to increase participation rates. The analysis indicates that political education during the non-election period is a critical moment to build the cognitive foundation of voters without compromising their independent choice, making the role of KPU Balikpapan essential in maintaining democratic integrity in the city.

This study evaluates the implementation of the Job Analysis (Anjab) policy at the Provincial General Elections Commission (KPU) of East Java using William N. Dunn’s policy evaluation model. The purpose of this research is to assess the extent to which the Anjab policy has been effective, efficient, adequate, equitable, responsive, and appropriate in supporting human resource management within the Provincial KPU. This study employs a descriptive qualitative approach, with data collected through interviews with personnel in the Subdivision of Personnel, observations, and document analysis of relevant regulations and internal documents. The evaluation shows that the implementation of Anjab within the KPU has not been optimal, as the Anjab documents have not been updated regularly, the job map remains generic and nationally standardized, there is no dedicated team responsible for Anjab management, and personnel’s understanding of Anjab remains limited. These conditions result in discrepancies between job descriptions and actual tasks performed, disproportionate task distribution, and low utilization of Anjab in human resource structuring. Consequently, the policy has not been fully effective, efficient, responsive, or well-targeted. Key recommendations include establishing an Anjab implementation team, providing technical training, developing an institution-specific job map, and conducting regular document updates

This study examines sarcastic utterances by netizens on TikTok during the 2024 Gorontalo Regional Election, focusing on their forms, functions, and influencing factors. The research analyzed comments on TikTok videos related to the election, specifically those containing sarcasm, selected purposively. Using a qualitative descriptive approach, the study categorized sarcastic utterances into four forms: (1) action sarcasm, (2) trait sarcasm, (3) result-of-action sarcasm, and (4) advisory sarcasm. The functions of these utterances include expressing opinions, prohibition, information, emphasis, rejection, commands, and statements. The study also identified two main factors influencing the use of sarcasm: emotional outbursts and disappointment toward the candidate pairs. The findings suggest that sarcasm is employed as a medium for expressing attitudes, emotions, and political judgments in digital discourse. This research highlights the role of sarcastic speech acts in the political conversation on social media during election campaigns.

This study aims to analyze the incumbent's advantage in the 2024 Manggarai Regency Legislative Election with a case study of Paulus Peos' victory in Electoral District I. The theory used is David R Mayhew's approach. The method used is a descriptive qualitative approach through interviews, observation, and documentation. The results of the study show that Paulus Peos' success in retaining his legislative seat for four consecutive terms was supported by three main factors, namely name recognition (advertising), credit claiming, and position taking. Through advertising, Paulus Peos built a positive image and connection with the community; through credit claiming, Paulus Peos emphasized his contributions to various development programs; and through position taking, Paulus Peos demonstrated his commitment to the aspirations of the people. These three factors fostered strong voter loyalty and trust, proving that the incumbent's advantage stemmed not only from his political position but also from his ability to build social relationships and his consistent performance in serving the community.

The Hamlet Head Election is an important part of the practice of village democracy that demands transparent, accountable, and participatory implementation. However, in practice, various obstacles are still encountered, such as limited understanding of regulations by the committee, low democratic literacy of the community, and potential conflicts due to lack of information disclosure. This community service activity aims to accompany the implementation of the Hamlet Head Election in Wonokerto Village so that it runs transparently and accountably. The service methods used include socialization of hamlet head election regulations, technical assistance to the election committee, education to the community regarding the rights and obligations of voters, and monitoring and evaluation of the election implementation. The results of the activity show an increase in the committee's understanding of election procedures in accordance with the principles of village governance, increased community participation, and the implementation of more open and accountable election.Thus, this community service activity can have a positive impact on the implementation of more open and accountable elections, as well as creating a healthy and sustainable democratic climate at the village level.

Advances in in vitro fertilization (IVF) technology have expanded the scope of reproductive interventions, from simply addressing infertility to enabling genetic selection of embryos through preimplantation genetic testing (PGT). This advancement not only enables the detection and prevention of severe genetic diseases, but also opens up opportunities for the selection of non-medical traits such as intelligence potential, physical characteristics, or specific polygenic scores, giving rise to the phenomenon of “designer babies.” This development presents complex bioethical issues related to human dignity, social justice, biological safety, and the right of children to have an open future. This paper aims to analyze the ethical issues of selecting non-medical characteristics of embryos in modern IVF through a literature review using a biomedical ethics framework, including the principles of autonomy, beneficence, non-maleficence, and justice. The findings show that the application of technology for non-medical purposes is still fraught with scientific risks, biological uncertainties, the potential for commercialization of humans, and the threat of socio-biological inequality. This analysis emphasizes the need to restrict the use of technology to clear medical indications, increase regulation and governance, and involve the public in policy formulation. Thus, advances in reproductive technology must be accompanied by strict ethical considerations so as not to sacrifice individual dignity and the value of justice in society.

This research aims to implement a Multi-Attribute Decision Making (MADM) approach using the AHP–TOPSIS method to assist PT. XYZ in selecting the most suitable intern candidate for the Social Media Specialist position. The increasing number of applicants each year makes the selection process more complex, requiring a systematic and data-driven decision support system. AHP was used to determine the priority weights of five main criteria—Interview, Experience, Portfolio, Skill, and Achievement—along with their subcriteria. All pairwise comparison matrices met the consistency requirements, indicating valid weights. The TOPSIS method was then applied to calculate the preference scores of ten candidate alternatives based on the weighted normalized decision matrix, ideal solutions, and distance measures. The results show that candidate A3 achieved the highest preference score (0.9422), followed by A7 and A8, making them the top recommended candidates. This study demonstrates that integrating AHP and TOPSIS effectively supports companies in conducting objective, efficient, and accurate recruitment decision-making processes.

Demam berdarah dengue merupakan tantangan kesehatan masyarakat yang terus berulang di wilayah tropis, termasuk Indonesia. Penelitian ini bertujuan untuk memprediksi jumlah kasus tahunan dengan memanfaatkan lima algoritma pembelajaran mesin, yaitu Regresi Linier, Decision Tree, Random Forest, Support Vector Machine (SVM), dan Neural Network. Data historis tahun 2017–2024 diolah menggunakan teknik windowing deret waktu untuk menghasilkan fitur lag yang sesuai bagi pembelajaran terawasi. Evaluasi kinerja dilakukan melalui metrik Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), serta koefisien determinasi (R²). Model Decision Tree menunjukkan performa paling unggul pada sebagian besar indikator. Prediksi untuk tahun 2025 mengindikasikan adanya peningkatan moderat jumlah kasus. Namun, rendahnya nilai R² pada seluruh model mengisyaratkan perlunya pendekatan multivariat yang lebih kompleks dengan mempertimbangkan faktor iklim, lingkungan, dan demografi. Hasil penelitian ini menegaskan pentingnya kualitas data dan pemilihan fitur yang tepat dalam peramalan epidemiologis guna mendukung perencanaan kesehatan yang lebih efektif.

Mutu dalam pengolahan pangan menjadi hal penting untuk menjamin produk yang aman, higienis, dan berkualitas. Suatu produk dikatakan bermutu apabila mampu memenuhi standar mutu yang telah ditetapkan oleh pihak terkait dalam hal ini adalah Standar Nasional Indonesia (SNI). Penelitian ini dilakukan untuk mengevaluasi kualitas kimia dari produk kupang krispi yang dihasilkan oleh UD. Bunda Foods, dengan menitikberatkan pada tiga parameter utama yaitu kadar air, kadar abu, dan kadar protein. Kupang krispi dipilih sebagai bahan uji karena merupakan inovasi olahan hasil laut yang memiliki nilai gizi tinggi serta daya simpan yang baik, sehingga potensial dijadikan produk camilan unggulan. Metodologi penelitian mengacu pada Standar Nasional Indonesia (SNI) 8272:2016 tentang kerupuk ikan, mengingat belum tersedia standar khusus untuk kupang krispi. Pengujian kadar air menggunakan metode gravimetri, analisis kadar abu dilakukan melalui proses pembakaran pada suhu 550°C, dan pengukuran kadar protein menggunakan metode Kjeldahl. Hasil pengujian menunjukkan bahwa kadar air berada pada rata-rata 6,75%, kadar protein mencapai 19,20%, dan kadar abu sebesar 2,5%. Jika dibandingkan dengan ketentuan dalam SNI, kadar air dan protein telah memenuhi standar mutu yang ditetapkan, namun kadar abu jauh melebihi batas maksimal yang diperbolehkan sebesar 0,2%. Kupang krispi memiliki mutu kimia yang baik dari sisi nutrisi dan ketahanan produk, namun masih diperlukan perbaikan terutama dalam mengendalikan kadar abu yang tinggi. Oleh karena itu, peningkatan sanitasi dalam proses produksi dan pemilihan bahan baku yang lebih bersih menjadi penting agar produk dapat memenuhi standar nasional secara menyeluruh dan mampu bersaing secara optimal di pasar.

Penelitian ini mengevaluasi efisiensi tiga algoritma sorting hybrid, yaitu TimSort, IntroSort, dan Merge-Insertion Sort, pada dataset skala menengah yang memiliki jumlah elemen antara 10.000 hingga 1.000.000. Tujuan utama penelitian adalah untuk menganalisis performa algoritma berdasarkan waktu eksekusi, konsumsi memori, dan stabilitas, dengan pengujian dilakukan pada berbagai jenis dataset, termasuk data acak, terurut, hampir terurut, dan data dengan banyak elemen duplikat. Pengujian dilakukan melalui simulasi komputasi menggunakan bahasa pemrograman Python dalam lingkungan terkontrol untuk memastikan hasil yang konsisten. Dataset sintetis dibuat untuk mencerminkan kasus dunia nyata, seperti pengolahan log sistem, pengurutan data pelanggan dalam aplikasi e-commerce, atau pengolahan data sensor dalam sistem Internet of Things (IoT). Hasil pengujian menunjukkan bahwa TimSort memiliki performa unggul pada dataset hampir terurut dengan waktu eksekusi rata-rata 0,12 detik untuk 1.000.000 elemen, sedangkan IntroSort lebih cepat pada dataset acak dengan waktu 0,09 detik dan konsumsi memori rendah sekitar 120 MB. Merge-Insertion Sort menonjol dalam hal stabilitas, tetapi memerlukan memori lebih besar, yaitu sekitar 180 MB untuk dataset yang sama. Analisis mendalam menunjukkan bahwa pemilihan algoritma yang optimal sangat bergantung pada karakteristik dataset dan kebutuhan aplikasi, seperti kecepatan untuk data acak atau stabilitas untuk pengurutan data berurutan. Penelitian ini merekomendasikan TimSort untuk aplikasi yang memerlukan stabilitas tinggi, seperti pengolahan data transaksi keuangan, dan IntroSort untuk aplikasi yang mengutamakan kecepatan pada data acak, seperti analitik data real-time. Untuk pengembangan lebih lanjut, penelitian ini menyarankan eksplorasi optimasi paralel atau implementasi algoritma pada perangkat dengan sumber daya terbatas guna meningkatkan skalabilitas dan efisiensi.

This study is titled Analysis of the Incumbent's Defeat in the 2024 Regional Head Election in East Flores Regency (A Study of Antonius Hubertus Gege Hadjon's Defeat in East Adonara District), with the aim of analyzing the factors that led to the defeat of incumbent Antonius Hubertus Gege Hadjon in the 2024 Pilkada. This study uses Pierre Bourdieu’s political modality theory, including political, social, economic, and cultural capital. A qualitative approach with a descriptive method is employed, and data is collected through interviews with subjects consisting of the incumbent candidate, a religious leader, a youth leader, a community leader, two party representatives, and the success team. The study focuses on the support base in East Adonara District. The results of the study indicate that the incumbent's defeat was caused by the weakening of political capital, especially due to the vacancy in the regent’s position for two and a half years, which strengthened the opponent's position. This caused stagnation in public services and a decrease in the intensity of local government communication. In addition to these structural factors, weak internal party consolidation and public sentiment about uneven development also contributed to the defeat, indicating the incumbent's failure to manage his political capital amidst the dynamics of governance.

Supplier selection is a strategic aspect of supply chain management that directly impacts product quality and operational efficiency within a company. PT. XYZ, operating in the fashion industry, is currently facing the challenge of selecting the optimal t-shirt supplier and lacks an appropriate decision-making method. The objective of this research is to provide insights into the best decision-making approach for PT. XYZ by applying the Analytical Hierarchy Process (AHP) method. The determination of suppliers is carried out by considering four main criteria, namely product quality, product price, delivery time, and service. The data obtained were generated from interviews and questionnaires given to the owner of PT. XYZ. The results of the analysis have shown that product quality is the most influential criterion with a weight of 0.716, followed by service (0.113), delivery time (0.093), and product price (0.078). The final result states that supplier C has the highest priority weight, which is 0.763. Therefore, PT. XYZ is recommended to choose supplier C as the best alternative supplier. The results of this study indicate that the AHP method can be used as a systematic and objective decision-making tool for supplier selection.

Student selection for the National Student Sports Olympiad (O2SN), particularly in the karate category, is still largely conducted manually, which may lead to subjectivity and inconsistency in the assessment process. This study aims to design and develop a web-based Decision Support System (DSS) to assist schools in selecting the best students for the O2SN karate competition by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at SMA Negeri 2 Muaro Jambi. The system was developed using the waterfall model, which consists of requirement analysis, system design, implementation, and testing stages. The student evaluation process is based on criteria referring to the official O2SN karate standards, including stance accuracy, techniques, movement transitions, timing and harmony, breathing control, focus (kime), conformity (consistency with ryu-ha/style), strength, speed, and balance. The developed system processes assessment data to generate preference values and student rankings, which are separated by male and female categories. The results indicate that the application of the TOPSIS method is able to support more objective decision-making and improve transparency and efficiency in the O2SN student selection process within the school environment.

Constitutional Court (MK) “Decision Number 60/PUU-XXII/2024 marks an important shift in the practice of judicial review, whereby the Constitutional Court not only invalidates legal norms, but also establishes new substantive norms in cases involving open legal policy. This action reflects the tendency of positive legislature, which theoretically expands the scope of judicial authority beyond the limits of negative legislature. This study aims to analyse the implications of this ruling on the legislative function of Indonesia Parliament (DPR), particularly in the context of its constitutional responsibility to respond to and accommodate new norms established through court rulings. Using normative legal research methods and a conceptual approach, this study finds that the DPR's suboptimal institutional response to the substance of the ruling indicates serious challenges in harmonising the constitutional system that guarantees the effectiveness of norms, legal certainty, and the principle of checks and balances. This study contributes to proposing a model of inter-institutional coordination or parameters for the judicialisation of norms to ensure the balance of power, as well as criticising and clarifying the boundaries of the roles of each state institution in the context of corrective legislation based on judicial decisions.

Social assistance programs are often a major concern during local elections. However, their impact on voter support for incumbents remains underexplored. This study analyzes how perceptions of social assistance influence voting behavior for incumbents in the 2024 Palangka Raya mayoral election. Using a sequential explanatory mixed methods design, the quantitative stage was conducted through a survey of 370 social assistance recipients and analyzed using PLS-SEM. The qualitative stage used 13 official documents and verified news reports to examine how social assistance was framed in the public sphere. The results show that perceptions of social assistance are the strongest predictor of the tendency to vote for incumbents, whereas political competition, demographic factors, and moderating effects are not significant. Qualitative analysis shows that social assistance issues are the most frequently mentioned theme in news reports and official documents, thereby reinforcing their relevance as a basis for evaluation by the beneficiaries. This study shows that voters tend to respond to the benefits of policies they perceive in determining their electoral choices, even within a public sphere that frequently raises issues of program politicization.